Free-viewpoint image synthesis from multiple-view images taken with uncalibrated moving cameras

Yosuke Ito, Hideo Saito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

In this paper, we propose methods for free-viewpoint image synthesis from multiple-view images taken with uncalibrated cameras. In our method, two viewpoints are selected as basis images for defining a projective 3D coordinate of the object scene in which the scene structure is recovered from the input multiple-view images. The 3D coordinate is defined by the image coordinates of the selected two basis images according to the epipolar geometry between those two images, which is represented by a fundamental matrix. The multiple-view images are also related to the projective 3D coordinate by their epipolar geometry to the basis images. Based on such a framework, we do not need to strongly calibrate the cameras, so we can recover 3D structure of the scene without effort for the camera calibration. In addition to that, we can also render free-viewpoint images from hand-held moving cameras. We will demonstrate the effectiveness of the proposed method by showing free-viewpoint images from multi-view images taken with hand-held moving cameras.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing 2005, ICIP 2005
Pages29-32
Number of pages4
DOIs
Publication statusPublished - 2005 Dec 1
EventIEEE International Conference on Image Processing 2005, ICIP 2005 - Genova, Italy
Duration: 2005 Sep 112005 Sep 14

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume3
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing 2005, ICIP 2005
CountryItaly
CityGenova
Period05/9/1105/9/14

    Fingerprint

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ito, Y., & Saito, H. (2005). Free-viewpoint image synthesis from multiple-view images taken with uncalibrated moving cameras. In IEEE International Conference on Image Processing 2005, ICIP 2005 (pp. 29-32). [1530320] (Proceedings - International Conference on Image Processing, ICIP; Vol. 3). https://doi.org/10.1109/ICIP.2005.1530320